Battery management and application for energy-efficient

Tianshu Wei, Taeyoung Kim, Sangyoung Park, Qi Zhu, Sheldon X D Tan, Naehyuck Chang, Sadrul Ula, Mehdi Maasoumy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

As the building stock consumes 40% of the U.S. primary energy consumption, it is critically important to improve building energy effciency. This involves reducing the total energy consumption of buildings, reducing the peak energy demand, and leveraging renewable energy sources, etc. To achieve such goals, hybrid energy supply has becoming pop-ular, where multiple energy sources such as grid electricity, on-site fuel cell generators, solar, wind, and battery storage are scheduled together to improve energy effciency. In this work, we focus on the application and manage-ment of battery storage for energy-effcient buildings. We will rst introduce a system-level approach to co-schedule the usage of battery storage (in addition to grid electricity) with the control of building HVAC (heating, ventilation, and air conditioning) system, to reduce the total building energy cost, including the electricity consumption charge, the peak demand charge, and the battery cost. Then, in a separate formulation, we will introduce another system-level study to reduce the energy cost of EV charging and other xed building energy load through the usage of battery storage and solar PV. Finally, we will present an ARM processor based programmable embedded battery management sys-tem (BMS), which monitors battery status, controls charg-ing and discharging at the circuit level, and provides battery protection. The system also works with off-the-shelf battery management IC (Texas Instrument BMS sensor IC) from industry. Comparing to conventional BMS, this software module based BMS is a more suitable solution for energy-effcient buildings due to its high exibility, scalability, and reusability. We will introduce an industrial building testbed with bat-tery storage and solar PV at the University of California, Riverside, and present initial eld tests and simulation re-sults for above approaches.

Original languageEnglish (US)
Title of host publicationDAC 2014 - 51st Design Automation Conference, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479930173
DOIs
StatePublished - Jan 1 2014
Event51st Annual Design Automation Conference, DAC 2014 - San Francisco, CA, United States
Duration: Jun 2 2014Jun 5 2014

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X

Other

Other51st Annual Design Automation Conference, DAC 2014
CountryUnited States
CitySan Francisco, CA
Period6/2/146/5/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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    Wei, T., Kim, T., Park, S., Zhu, Q., Tan, S. X. D., Chang, N., Ula, S., & Maasoumy, M. (2014). Battery management and application for energy-efficient. In DAC 2014 - 51st Design Automation Conference, Conference Proceedings [2596670] (Proceedings - Design Automation Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/2593069.2596670